Effective data visualization : the right chart for the right data / Stephanie D.H. Evergreen.
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Evergreen, Stephanie D. H
Call no.: P93.5 .E847 2020Publication: Thousand Oaks, Calif. : SAGE, c2020Edition: 2nd edDescription: xix, 328 p. : col. illNotes: "Written by sought-after speaker, designer, and researcher Stephanie D.H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprints--supported by research and the author's extensive experience with clients in industries all over the world--for conveying data in an impactful way. Delivered in Evergreen's humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for making the chosen graph in Excel. New to the Second Edition is a completely re-written chapter on qualitative data; inclusion of 9 new quantitative graph types; new shortcuts in Excel; and entirely new chapter on Sharing Your Data with the World which includes advice on using dashboards; and lots of new examples throughout. The Second Edition is also presented in full color"--Provided by publisher.ISBN: 9781544350882 (paperback); 1544350880 (paperback)Subject(s): Visual communicationCharts, diagrams, etcPresentation graphics softwareGraphic design (Typography)Information visualizationLOC classification: P93.5 | .E847 2020ประเภททรัพยากร | ตำแหน่งปัจจุบัน | กลุ่มข้อมูล | ตำแหน่งชั้นหนังสือ | เลขเรียกหนังสือ | สถานะ | วันกำหนดส่ง | บาร์โค้ด | การจองรายการ |
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Professor Sangvian Indaravijaya Library | General Books | General Stacks | P93.5 .E847 2020 (เรียกดูชั้นหนังสือ) | ยืมออก | 31/08/2022 | 31379016165368 |
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P92.T5 C624 2003 Annual report. | P92.5.H37 B87 2020 Reed Hastings : building Netflix / | P93.5 .B35 2020 Killer visual strategies : engage any audience, improve comprehension, and get amazing results using visual communication / | P93.5 .E847 2020 Effective data visualization : the right chart for the right data / | P93.5 .G473 2015 Visuals matter! : designing and using effective visual representations to support project and portfolio decisions / | P93.5 .L36 2012 Infographics : | P93.5 .Q85 2020 Visual collaboration : |
"Written by sought-after speaker, designer, and researcher Stephanie D.H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprints--supported by research and the author's extensive experience with clients in industries all over the world--for conveying data in an impactful way. Delivered in Evergreen's humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for making the chosen graph in Excel. New to the Second Edition is a completely re-written chapter on qualitative data; inclusion of 9 new quantitative graph types; new shortcuts in Excel; and entirely new chapter on Sharing Your Data with the World which includes advice on using dashboards; and lots of new examples throughout. The Second Edition is also presented in full color"--Provided by publisher.
Includes bibliographical references and index.
Our backbone : why we visualize -- When a single number is important : showing mean, frequency, and measures of variability -- How two or more numbers are alike or different : visualizing comparisons -- How we are better or worse than a benchmark : displaying relative performance -- What the survey says : showing likert, ranking, check-all-that-apply, and more -- When there are parts of a whole : visualizing beyond the pie chart -- How this thing changes when that thing does : communicating correlation and regression -- When the words have the meaning : visualizing qualitative data -- How things changed over time : depicting trends -- Sharing your data with the world -- It's about more than the buttons.
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